Contraceptive mis/disinformation among adolescents: Assessing the role of generative AI in information seeking and critical thinking
Abortion, Contraception
Awarded 2025
Contraceptive misinformation and disinformation
April Bell, PhD, MPH
University of California, San Francisco
$150,000

This mixed-methods study explores how Black adolescents use generative artificial intelligence (AI) tools like ChatGPT to seek information about contraception and how these interactions shape their critical thinking, credibility assessments, and reproductive health decision-making. As adolescents increasingly turn to AI platforms to ask sensitive health questions, it is essential to understand the accuracy and potential intentionality of the information they receive, including disinformation, and the ways they interpret and respond to it. There is limited research in this area, especially for Black youth, who are more likely to encounter misinformation online and less likely to be served by traditional health education systems.

Guided by frameworks on information disorder, critical pedagogy, and digital health literacy, this study will enroll 30 Black adolescent girls aged 14 to 18 across three states: California, Indiana, and Florida. Each participant will complete a structured interaction with a large language model focused on common questions about contraception. AI-generated responses will be recorded and analyzed for accuracy, clarity, and bias. Participants will also complete brief pre- and post-session surveys to assess digital health literacy, trust in different sources of information, and ability to evaluate credibility. All participants will take part in interviews to reflect on their experience, their perceptions of AI, and their preferences for how health information should be delivered.

The findings will inform youth-centered strategies for AI integration into sexual and reproductive health education. This study supports broader reproductive justice goals by helping ensure that Black adolescents have access to accurate, relevant, and trustworthy information.